bhchiang

bhchiang

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readability

Readability is a library written in Go (golang) to parse, analyze and convert HTML pages into readable content. Originally an Arc90 Experiment, it is now incorporated into Safari’s Reader View.

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PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

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tamagui

Style React fast with 100% parity on React Native, an optional UI kit, and optimizing compiler.

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tortoise-tts

A multi-voice TTS system trained with an emphasis on quality

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accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

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WebShop

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

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LMOps

General technology for enabling AI capabilities w/ LLMs and MLLMs

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deep_learning_curriculum

Language model alignment-focused deep learning curriculum

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magenta

Magenta: Music and Art Generation with Machine Intelligence

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symbolic-music-diffusion

Symbolic Music Generation with Diffusion Models

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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jax_dataclasses

Pytrees + dataclasses ❤️

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loconotion

📄 Python tool to turn Notion.so pages into lightweight, customizable static websites

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pixloc

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

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AtLoc

AtLoc: Attention Guided Camera Localization

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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stats205_notes

the public repo for stats205 scribe notes at Stanford University

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detr

End-to-End Object Detection with Transformers

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ml-hypersim

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

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TurboTransformers

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

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TLIO

Tight Learned Inertial Odometry

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functorch

functorch is JAX-like composable function transforms for PyTorch.

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