I just got access to GitHub's Codespaces and it's amazing!

Abhishek Thakur · Beginner ·📐 ML Fundamentals ·5y ago
NOTE: This is *not* a sponsored/promotional video. I just got access to #GitHub #Codespaces and it's amazing! Check it out in action in this video! Please subscribe and like the video to help me keep motivated to make awesome videos like this one. :) To buy my book, Approaching (Almost) Any Machine Learning problem, please visit: https://bit.ly/buyaaml Follow me on: Twitter: https://twitter.com/abhi1thakur LinkedIn: https://www.linkedin.com/in/abhi1thakur/ Kaggle: https://kaggle.com/abhishek
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Uploads from Abhishek Thakur · Abhishek Thakur · 53 of 60

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1 Intro
Intro
Abhishek Thakur
 2 Episode 1.1: Intro and building a machine learning framework
Episode 1.1: Intro and building a machine learning framework
Abhishek Thakur
 3 Episode 1.2: Building an inference for the machine learning framework
Episode 1.2: Building an inference for the machine learning framework
Abhishek Thakur
 4 Tips N Tricks #1: Send messages to Slack using Python
Tips N Tricks #1: Send messages to Slack using Python
Abhishek Thakur
 5 Episode 2: A Cross Validation Framework
Episode 2: A Cross Validation Framework
Abhishek Thakur
 6 Tips N Tricks #2: Setting up development environment for machine learning
Tips N Tricks #2: Setting up development environment for machine learning
Abhishek Thakur
 7 Episode 3: Handling Categorical Features in Machine Learning Problems
Episode 3: Handling Categorical Features in Machine Learning Problems
Abhishek Thakur
 8 BERT on Steroids: Fine-tuning BERT for a dataset using PyTorch and Google Cloud TPUs
BERT on Steroids: Fine-tuning BERT for a dataset using PyTorch and Google Cloud TPUs
Abhishek Thakur
 9 Tips N Tricks #3: Creating a clean inference kernel/notebook on Kaggle
Tips N Tricks #3: Creating a clean inference kernel/notebook on Kaggle
Abhishek Thakur
 10 Special Announcement: Approaching (almost) any machine learning problem
Special Announcement: Approaching (almost) any machine learning problem
Abhishek Thakur
 11 Training BERT Language Model From Scratch On TPUs
Training BERT Language Model From Scratch On TPUs
Abhishek Thakur
 12 Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
Abhishek Thakur
 13 Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-2)
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-2)
Abhishek Thakur
 14 Episode 4: Simple and Basic Binary Classification Metrics
Episode 4: Simple and Basic Binary Classification Metrics
Abhishek Thakur
 15 Training Sentiment Model Using BERT and Serving it with Flask API
Training Sentiment Model Using BERT and Serving it with Flask API
Abhishek Thakur
 16 Tips N Tricks #4: Using joblib to speed up almost any function (example 1)
Tips N Tricks #4: Using joblib to speed up almost any function (example 1)
Abhishek Thakur
 17 Episode 5: Entity Embeddings for Categorical Variables
Episode 5: Entity Embeddings for Categorical Variables
Abhishek Thakur
 18 Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python
Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python
Abhishek Thakur
 19 Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch
Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch
Abhishek Thakur
 20 Text Extraction From a Corpus Using BERT (AKA Question Answering)
Text Extraction From a Corpus Using BERT (AKA Question Answering)
Abhishek Thakur
 21 10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Abhishek Thakur
 22 Data Processing For Question & Answering Systems: BERT vs. RoBERTa
Data Processing For Question & Answering Systems: BERT vs. RoBERTa
Abhishek Thakur
 23 Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Abhishek Thakur
 24 Sentencepiece Tokenizer With Offsets For T5, ALBERT, XLM-RoBERTa And Many More
Sentencepiece Tokenizer With Offsets For T5, ALBERT, XLM-RoBERTa And Many More
Abhishek Thakur
 25 Talks # 1:Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
Talks # 1:Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
Abhishek Thakur
 26 Episode 6: Simple and Basic Evaluation Metrics For Regression
Episode 6: Simple and Basic Evaluation Metrics For Regression
Abhishek Thakur
 27 Talks # 2: Subhaditya Mukherjee - Image restoration using Deep Learning: Dehazing
Talks # 2: Subhaditya Mukherjee - Image restoration using Deep Learning: Dehazing
Abhishek Thakur
 28 Basic git commands everyone should know about
Basic git commands everyone should know about
Abhishek Thakur
 29 How do I start my career in Data Science?
How do I start my career in Data Science?
Abhishek Thakur
 30 Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction
Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction
Abhishek Thakur
 31 Tips & Tricks # 7: Fast, convenient & awesome code formatting using Black
Tips & Tricks # 7: Fast, convenient & awesome code formatting using Black
Abhishek Thakur
 32 Detecting Skin Cancer (Melanoma) With Deep Learning
Detecting Skin Cancer (Melanoma) With Deep Learning
Abhishek Thakur
 33 Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning
Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning
Abhishek Thakur
 34 Build a web-app to serve a deep learning model for skin cancer detection
Build a web-app to serve a deep learning model for skin cancer detection
Abhishek Thakur
 35 Talks # 5: Parul Pandey: Data Science, Diversity and Kaggle
Talks # 5: Parul Pandey: Data Science, Diversity and Kaggle
Abhishek Thakur
 36 Implementing original U-Net from scratch using PyTorch
Implementing original U-Net from scratch using PyTorch
Abhishek Thakur
 37 Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6
Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6
Abhishek Thakur
 38 Talks # 6: Mani Sarkar: From backend development to machine learning
Talks # 6: Mani Sarkar: From backend development to machine learning
Abhishek Thakur
 39 Dockerizing the skin cancer detection web application
Dockerizing the skin cancer detection web application
Abhishek Thakur
 40 How to train a deep learning model using docker?
How to train a deep learning model using docker?
Abhishek Thakur
 41 Building an entity extraction model using BERT
Building an entity extraction model using BERT
Abhishek Thakur
 42 Train custom object detection model with YOLO V5
Train custom object detection model with YOLO V5
Abhishek Thakur
 43 Talks # 7: Moez Ali: Machine learning with PyCaret
Talks # 7: Moez Ali: Machine learning with PyCaret
Abhishek Thakur
 44 How to convert almost any PyTorch model to ONNX and serve it using flask
How to convert almost any PyTorch model to ONNX and serve it using flask
Abhishek Thakur
 45 Hyperparameter Optimization: This Tutorial Is All You Need
Hyperparameter Optimization: This Tutorial Is All You Need
Abhishek Thakur
 46 I finally got a copy of "Approaching (Almost) Any Machine Learning Problem"
I finally got a copy of "Approaching (Almost) Any Machine Learning Problem"
Abhishek Thakur
 47 Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
Abhishek Thakur
 48 Live Q&A: Getting Started With Data Science
Live Q&A: Getting Started With Data Science
Abhishek Thakur
 49 WTFML: Simple, reusable code for PyTorch models
WTFML: Simple, reusable code for PyTorch models
Abhishek Thakur
 50 Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI
Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI
Abhishek Thakur
 51 Data Science PC Configs: From Low Range to Super-High Range
Data Science PC Configs: From Low Range to Super-High Range
Abhishek Thakur
 52 BERT Model Architectures For Semantic Similarity
BERT Model Architectures For Semantic Similarity
Abhishek Thakur
 ▶ I just got access to GitHub's Codespaces and it's amazing!
I just got access to GitHub's Codespaces and it's amazing!
Abhishek Thakur
 54 Talks # 9: Vladimir Iglovikov; Detecting Masked Faces In The Pandemic World
Talks # 9: Vladimir Iglovikov; Detecting Masked Faces In The Pandemic World
Abhishek Thakur
 55 Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)
Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)
Abhishek Thakur
 56 Docker For Data Scientists
Docker For Data Scientists
Abhishek Thakur
 57 How To Become A Data Scientist In 1 Year (Learn From A Real World Example)
How To Become A Data Scientist In 1 Year (Learn From A Real World Example)
Abhishek Thakur
 58 Talks # 10: Tanishq Abraham; What are CycleGANs? (a novel deep learning tool in pathology)
Talks # 10: Tanishq Abraham; What are CycleGANs? (a novel deep learning tool in pathology)
Abhishek Thakur
 59 Deploy Any Machine Learning Or Deep Learning Model On Google Cloud Platform (App Engine)
Deploy Any Machine Learning Or Deep Learning Model On Google Cloud Platform (App Engine)
Abhishek Thakur
 60 Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
Abhishek Thakur
The NEW wave of engineering 🤔
Next Up
The NEW wave of engineering 🤔
Sajjaad Khader