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A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Dev…
VIP cheatsheets for Stanford's CS 230 Deep Learning
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A curated list of foundation models for vision and language tasks in medical imaging
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
deep learning projects for healthcare applications using CNN, RNN, attention mechanism, memory network, and graph representation, etc.
Introduction Parkinson’s Disease is the second most prevalent neurodegenerative disorder after Alzheimer’s, affecting more than 10 million people worldwide. Parkinson’s is characterized primarily b…
Awesome-LLM: a curated list of Large Language Model
A high-throughput and memory-efficient inference and serving engine for LLMs
📒《统计学习方法-李航》200页PDF手推公式细节讲解，包含详细的目录以及R语言代码实现，可结合《统计学习方法》提高学习效率，适合机器学习、深度学习初学者。
🎉 Modern CUDA Learn Notes with PyTorch: fp32, fp16, bf16, fp8/int8, flash_attn, sgemm, sgemv, warp/block reduce, dot, elementwise, softmax, layernorm, rmsnorm.
📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
AUCell: score single cells with gene regulatory networks
⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Acceptance rates for the major AI conferences
🦜🔗 Build context-aware reasoning applications
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
A curated list of reproducible research case studies, projects, tutorials, and media
A curated list of awesome deep learning applications in the field of computational biology
A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
