saurabh-ramola Follow 
Stars
Outcome driven agent development framework that evolves
A boilerplate for Node.js web applications
Play with fluids in your browser (works even on mobile)
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
This is a repository containing the list of company wise questions available on leetcode premium
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
💎 A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
This contains the curriculum that I will follow to get better at Competitive Programming in 2 months.
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
Description Describes the IndicNLP corpus and associated datasets
This repository contains landmark research papers in Natural Language Processing that came out in this century.
Research papers with annotations, illustrations and explanations
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization
📓 Notes for Andrew Ng's courses on deep learning
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A small repo showing how to easily use BERT (or other transformers) for inference
A curated list of awesome Deep Learning tutorials, projects and communities.
Crack LeetCode, not only how, but also why.
✍️ A carefully curated list of NLP paper summaries
Curated coding interview preparation materials for busy software engineers