Stars
kulinseth / pytorch
Forked from pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration
Unsupervised text tokenizer for Neural Network-based text generation.
Export utility for unconstrained channel pruned models
[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
4 bits quantization of LLaMA using GPTQ
KohakuBlueleaf / guanaco-lora
Forked from tloen/alpaca-loraInstruct-tune LLaMA on consumer hardware
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
Make your models invariant to changes in scale.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.
Everything we actually know about the Apple Neural Engine (ANE)
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Lightning ⚡️ fast forecasting with statistical and econometric models.
Python library to train neural networks with a strong focus on hydrological applications.
Official code repository for NeurIPS 2022 paper "SatMAE: Pretraining Transformers for Temporal and Multi-Spectral Satellite Imagery"
(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
TempestRemap: Remapping software for climate applications
Using optical flow & machine learning to predict PV yield
A light-weighted extension that brings you the best image browsing experience in VS Code, especially for remote / cloud development.
A collaboration friendly studio for NeRFs
Awesome Open Atmospheric, Ocean, and Climate Science
A benchmark dataset for data-driven weather forecasting
xcube is a Python package for generating and exploiting data cubes powered by xarray, dask, and zarr.
Download and access remote sensing data from any platform
Audio-conditioned video texture generation
Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch