ykandel's Stars
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
pcg-mlp/KsanaLLM
typst/typst
A new markup-based typesetting system that is powerful and easy to learn.
kuterd/nv_isa_solver
Nvidia Instruction Set Specification Generator
fastapi/fastapi-cli
Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
mistralai/megablocks-public
adapter-hub/adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
openai/consistencydecoder
Consistency Distilled Diff VAE
matejak/imreg_dft
Image registration using discrete Fourier transform.
cgohlke/imreg
FFT based image registration
CompVis/taming-transformers
Taming Transformers for High-Resolution Image Synthesis
CasualGANPapers/Make-A-Scene
Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
3b1b/manim
Animation engine for explanatory math videos
keras-team/autokeras
AutoML library for deep learning
rpep/tcl_kernel
A Jupyter Kernel for the Tcl language.
RobertTLange/evosax
Evolution Strategies in JAX 🦎
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
anyoptimization/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
wkhtmltopdf/wkhtmltopdf
Convert HTML to PDF using Webkit (QtWebKit)
heitzmann/gdstk
Gdstk (GDSII Tool Kit) is a C++/Python library for creation and manipulation of GDSII and OASIS files.
logicalclocks/maggy
Distribution transparent Machine Learning experiments on Apache Spark
PacktPublishing/Getting-Started-with-Google-BERT
Getting Started with Google BERT, published by Packt
a5a/asynchronous-BO
Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"
m1bcodes/CudaMONSEL
Monte Carlo Simulation of SEM Signals using CUDA.
CMA-ES/libcmaes
libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
complexphoton/MESTI.m
2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
NVIDIA/thrust
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
cpp-best-practices/cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.