EricZQu

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UC Berkeley BAIR

Berkeley, CA

Eric Qu's starred repositories

darknet

Convolutional Neural Networks

Language:CNOASSERTION25838 910 2368

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Language:Jupyter NotebookApache-2.025199 1086 563

BullshitGenerator

Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.

Language:JavaScriptNOASSERTION15673 270 155

flash-attention

Fast and memory-efficient exact attention

Language:PythonBSD-3-Clause14208 119 1116

Halfrost-Field

✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

Language:GoCC-BY-SA-4.012952 475 37

tiny-gpu

A minimal GPU design in Verilog to learn how GPUs work from the ground up

Language:SystemVerilog7077 67 24

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Language:PythonApache-2.05347 34 53

Hackintosh-Installer-University

Open source tutorial & information collector for hackintosh installation.

Language:Rich Text Format3943 182 21

tensorflow_macos

TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

Language:ShellNOASSERTION3674 148 261

tensorflow-yolov3

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

Language:PythonMIT3632 88 589

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Language:PythonApache-2.02930 38 146

BIG-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Language:PythonApache-2.02865 51 151

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

Language:Jupyter NotebookMIT2508 76 351

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

Language:PythonMIT2247 44 430

TensorFlow2.0-Examples

🙄 Difficult algorithm, Simple code.

Language:Jupyter NotebookMIT1712 58 124

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Language:PythonNOASSERTION1681 50 70

OC-little

ACPI Hotpatch Samples for the OpenCore Bootloader

Language:ASL1623 84 29

torchtyping

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

Language:PythonApache-2.01406 16 36

forty-jekyll-theme

A Jekyll version of the "Forty" theme by HTML5 UP.

Language:SCSSNOASSERTION1060 27 55

fairchem

FAIR Chemistry's library of machine learning methods for chemistry

Language:PythonNOASSERTION876 28 218

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Language:PythonMIT828 37 56

DOTA-DOAI

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Language:Jupyter NotebookMIT776 27 37

Laptop-DSDT-Patch

Common DSDT patches for Ivy/Sandy/Haswell laptops for running OS X

NOASSERTION680 79 56

Awesome-Hyperbolic-Representation-and-Deep-Learning

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Language:PythonGPL-2.0310 20 28

openff-forcefields

Force fields produced by the Open Force Field Initiative

Language:PythonCC-BY-4.0140 27 22

hyperbolic-learning

Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)

Language:Jupyter Notebook125 7 5

hyperbolic_nn_plusplus

Official PyTorch implementation of Hyperbolic Neural Networks++

Language:PythonNOASSERTION63 6 2

JMP

Code for “From Molecules to Materials Pre-training Large Generalizable Models for Atomic Property Prediction”.

Language:PythonNOASSERTION42 3 4

scatter

scattering and structure factor

Language:CGPL-3.01 20