Vidyasagar Bhargava's repositories
Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
vidyasagarbhargava
A Data Science Professional
alpaca-kafka-flink-streamlit
playing with stock data and kafka
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
copilot-codespaces-vscode
Develop with AI-powered code suggestions using GitHub Copilot and VS Code
diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
diffusion-nbs
Getting started with diffusion
dl-fundamentals
Deep Learning Fundamentals -- Code material and exercises
first-contributions
🚀✨ Help beginners to contribute to open source projects
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
lm-hackers
Hackers' Guide to Language Models
mlops-best-practices
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
mlx-examples
Examples in the MLX framework
notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
skills-copilot-codespaces-vscode
My clone repository
text-generation-webui-colab
A colab gradio web UI for running Large Language Models