VS Code (codeserver) on Google Colab / Kaggle / Anywhere
In this short video, I introduce colabcode. I created colabcode to make it easier for you to run #VSCode via codeserver on Google #Colab or #Kaggle kernels! This gives you a fully-fledged IDE on Google Colab or Kaggle or anywhere you want!
Install colabcode via: "pip install colabcode"
GitHub: https://github.com/abhishekkrthakur/colabcode/
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Episode 1.1: Intro and building a machine learning framework
Abhishek Thakur
Episode 1.2: Building an inference for the machine learning framework
Abhishek Thakur
Episode 2: A Cross Validation Framework
Abhishek Thakur
Tips N Tricks #2: Setting up development environment for machine learning
Abhishek Thakur
Episode 3: Handling Categorical Features in Machine Learning Problems
Abhishek Thakur
BERT on Steroids: Fine-tuning BERT for a dataset using PyTorch and Google Cloud TPUs
Abhishek Thakur
Special Announcement: Approaching (almost) any machine learning problem
Abhishek Thakur
Training BERT Language Model From Scratch On TPUs
Abhishek Thakur
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
Abhishek Thakur
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-2)
Abhishek Thakur
Episode 4: Simple and Basic Binary Classification Metrics
Abhishek Thakur
Training Sentiment Model Using BERT and Serving it with Flask API
Abhishek Thakur
Episode 5: Entity Embeddings for Categorical Variables
Abhishek Thakur
Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python
Abhishek Thakur
Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch
Abhishek Thakur
Text Extraction From a Corpus Using BERT (AKA Question Answering)
Abhishek Thakur
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Abhishek Thakur
Data Processing For Question & Answering Systems: BERT vs. RoBERTa
Abhishek Thakur
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Abhishek Thakur
Sentencepiece Tokenizer With Offsets For T5, ALBERT, XLM-RoBERTa And Many More
Abhishek Thakur
Talks # 1:Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
Abhishek Thakur
Episode 6: Simple and Basic Evaluation Metrics For Regression
Abhishek Thakur
Talks # 2: Subhaditya Mukherjee - Image restoration using Deep Learning: Dehazing
Abhishek Thakur
Basic git commands everyone should know about
Abhishek Thakur
How do I start my career in Data Science?
Abhishek Thakur
Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction
Abhishek Thakur
Detecting Skin Cancer (Melanoma) With Deep Learning
Abhishek Thakur
Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning
Abhishek Thakur
Build a web-app to serve a deep learning model for skin cancer detection
Abhishek Thakur
Talks # 5: Parul Pandey: Data Science, Diversity and Kaggle
Abhishek Thakur
Implementing original U-Net from scratch using PyTorch
Abhishek Thakur
Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6
Abhishek Thakur
Talks # 6: Mani Sarkar: From backend development to machine learning
Abhishek Thakur
Dockerizing the skin cancer detection web application
Abhishek Thakur
How to train a deep learning model using docker?
Abhishek Thakur
Building an entity extraction model using BERT
Abhishek Thakur
Train custom object detection model with YOLO V5
Abhishek Thakur
Talks # 7: Moez Ali: Machine learning with PyCaret
Abhishek Thakur
How to convert almost any PyTorch model to ONNX and serve it using flask
Abhishek Thakur
Hyperparameter Optimization: This Tutorial Is All You Need
Abhishek Thakur
I finally got a copy of "Approaching (Almost) Any Machine Learning Problem"
Abhishek Thakur
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
Abhishek Thakur
Live Q&A: Getting Started With Data Science
Abhishek Thakur
WTFML: Simple, reusable code for PyTorch models
Abhishek Thakur
Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI
Abhishek Thakur
Data Science PC Configs: From Low Range to Super-High Range
Abhishek Thakur
BERT Model Architectures For Semantic Similarity
Abhishek Thakur
I just got access to GitHub's Codespaces and it's amazing!
Abhishek Thakur
Talks # 9: Vladimir Iglovikov; Detecting Masked Faces In The Pandemic World
Abhishek Thakur
Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)
Abhishek Thakur
Docker For Data Scientists
Abhishek Thakur
How To Become A Data Scientist In 1 Year (Learn From A Real World Example)
Abhishek Thakur
Talks # 10: Tanishq Abraham; What are CycleGANs? (a novel deep learning tool in pathology)
Abhishek Thakur
Deploy Any Machine Learning Or Deep Learning Model On Google Cloud Platform (App Engine)
Abhishek Thakur
Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
Abhishek Thakur
VS Code (codeserver) on Google Colab / Kaggle / Anywhere
Abhishek Thakur
Talks # 11: Jean-François Puget; Did you know GPUs are not just for Deep Learning?
Abhishek Thakur
End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks
Abhishek Thakur
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes
Abhishek Thakur
Ensembling, Blending & Stacking
Abhishek Thakur
DeepCamp AI