Pinned Repositories
2025_website
cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
InferSent
TensorFlow implementation of FAIR's InferSent (Supervised Learning of Universal Sentence Representations from Natural Language Inference Data)
Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
ml-2022
This Course is designed by me.
requests-for-research
A living collection of deep learning problems
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
vidyasagarbhargava's Repositories
vidyasagarbhargava/vidyasagarbhargava
A Data Science Professional
vidyasagarbhargava/vidyasagarbhargava.github.io
vidyasagarbhargava/2025_website
vidyasagarbhargava/ai-research-program
An independent AI research program created by Harshit.
vidyasagarbhargava/alpaca-kafka-flink-streamlit
playing with stock data and kafka
vidyasagarbhargava/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
vidyasagarbhargava/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
vidyasagarbhargava/copilot-codespaces-vscode
Develop with AI-powered code suggestions using GitHub Copilot and VS Code
vidyasagarbhargava/datasets
Repo for datasets
vidyasagarbhargava/devcontainer-example
vidyasagarbhargava/diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
vidyasagarbhargava/diffusion-nbs
Getting started with diffusion
vidyasagarbhargava/dl-fundamentals
Deep Learning Fundamentals -- Code material and exercises
vidyasagarbhargava/first-contributions
🚀✨ Help beginners to contribute to open source projects
vidyasagarbhargava/google-research
Google AI Research
vidyasagarbhargava/How-ChatGPT-Works
vidyasagarbhargava/interview
vidyasagarbhargava/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
vidyasagarbhargava/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
vidyasagarbhargava/lm-hackers
Hackers' Guide to Language Models
vidyasagarbhargava/mlops-best-practices
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
vidyasagarbhargava/mlx-examples
Examples in the MLX framework
vidyasagarbhargava/multimodal-workshop
vidyasagarbhargava/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
vidyasagarbhargava/rag-from-scratch
vidyasagarbhargava/resume
vidyasagarbhargava/skills-copilot-codespaces-vscode
My clone repository
vidyasagarbhargava/text-generation-webui-colab
A colab gradio web UI for running Large Language Models
vidyasagarbhargava/text-to-image-oreilly
vidyasagarbhargava/weaviate-mle-challenge