milinbhade1214's Stars
huggingface/smol-course
A course on aligning smol models.
ggerganov/llama.cpp
LLM inference in C/C++
tysam-code/hlb-gpt
Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in <100 seconds. Scales to larger models with one parameter change (feature currently in alpha).
stanford-cs149/cs149gpt
milinbhade1214/rl-trim
RL-TrIM: Reinforcement Learning driven Transformers model Structured Pruning
corbt/agent.exe
vaivaswatha/pliron
Programming Languages Intermediate Representation
flashinfer-ai/flashinfer
FlashInfer: Kernel Library for LLM Serving
drisspg/hw1
olcf/cuda-training-series
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
microsoft/UFO
A UI-Focused Agent for Windows OS Interaction.
Unstructured-IO/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Atomic-man007/Awesome_Multimodel_LLM
Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.
jiadong5/ECE408_FA23_UIUC
My GitHub Repo for UIUC ECE408 Applied Parallel Programming, mainly focus on CUDA programming and algorithm implementation.
goyalankit/compilers-and-llvm
LLVM optimization passes (DCE, LICM), compilers and stuff
banach-space/zz-cci
Solutions to practice problems with lots of tests
banach-space/perf-ninja
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
PKUFlyingPig/CS106L
CS106L : Standard C++ Programming Course
PKUFlyingPig/Self-learning-Computer-Science
the resources I use to learn computer science in my spare time
SeunghyunSEO/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
bhavnicksm/eai-cookbook
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
stas00/ml-engineering
Machine Learning Engineering Open Book
gpt-omni/mini-omni
open-source multimodal large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.
graviraja/MLOps-Basics
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
systemdesign42/system-design
A resource to help you pass system design interview and become good at work 👇
llmsystem/llmsys_code_examples
TransformerLensOrg/TransformerLens
A library for mechanistic interpretability of GPT-style language models
clu0/unet.cu
UNet diffusion model in pure CUDA