LakshitKava's Stars
ashishps1/awesome-low-level-design
Learn Low Level Design (LLD) and prepare for interviews using free resources.
rustformers/llm
[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models
rust-unofficial/awesome-rust
A curated list of Rust code and resources.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
atcoder/ac-library
AtCoder Library
vinija/AI-Coding
AI algorithms
Stable-Baselines-Team/stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
wnzhang/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
JohnSnowLabs/spark-nlp
State of the Art Natural Language Processing
abhishekkrthakur/mlframework
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models