HydrogenSulfate

HydrogenSulfate

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numpy

The fundamental package for scientific computing with Python.

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ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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llama3

The official Meta Llama 3 GitHub site

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llm.c

LLM training in simple, raw C/CUDA

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pykan

Kolmogorov Arnold Networks

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gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

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NumCpp

C++ implementation of the Python Numpy library

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deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

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tuna

:fish: Python profile viewer

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robin-map

C++ implementation of a fast hash map and hash set using robin hood hashing

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OpenDiT

OpenDiT: An Easy, Fast and Memory-Efficient System for DiT Training and Inference

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vscode-markdownlint

Markdown linting and style checking for Visual Studio Code

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opt_einsum

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

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pytorch_diffusion

PyTorch reimplementation of Diffusion Models

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Mol-Instructions

[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

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skillful_nowcasting

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

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rxn4chemistry

Python wrapper for the IBM RXN for Chemistry API

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deepflame-dev

A deep learning empowered open-source platform for reacting flow simulations

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PaddleTest

PaddlePaddle TestSuite

LapNet

Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo

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SPINN

Source code for Separable PINN

dropit

DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR'23)

DPOT

Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"

dt-pinn

Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations

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GraphTextRetrieval

Part of official implementation of "Natural language-informed learning1 of molecule graphs"

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