becomeallan Goto Github PK

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

argo-scholar

Literature Review Made Easy with Visualization

arl_trab

Trabalho de Regressao

ce089

Repositório da disciplina ce089 - Estatística Computacional II

control-engineering-with-python

Control Engineering with Python

deepoptimization

dsdeliver

Projeto da semana do devsuperior2.0

evalai-starters

How to create a challenge on EvalAI?

grounded-segment-anything

Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

intelligent-app-from-videos-google-generativeai-neo4j

jsonflow

JsonFlow is a minimal library for building frameworks to handle JSON/Dict data as APIs in pure Python to empower any application.

magali

MAGALI: An AI-powered tool to analyze nutrients and carbs from food photos, aiding metabolic health optimization.

markdown-preview-enhanced

One of the 'BEST' markdown preview extensions for Atom editor!

ml-slrc

Research project for automating systematic literature reviews. Best Paper Award of WEBIST 2022

neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

neurosymbolic-representations-for-ir

Resources for Tutorial on Neuro-Symbolic Representations for IR

non-linear-system

Nonlinear problem solving written in R.

portuguese-bert

Portuguese pre-trained BERT models

quarto-actions

rnn

Resumo sobre o comportamento de RNN do básico a aplicações básicas sobre sua funcionalidade.

s2query

S2query is a library to search papers from Semantic Scholar.

saeb-me2-tf

semi-automation-of-systematic-review-of-clinical-trials-in-medical-psychology-with-bert-models

We employed pre-trained BERT models (distillBERT, BioBert, and SciBert) for text-classifications of the titles and abstracts of clinical trials in medical psychology. The average score of AUC is 0.92. A stacked model was then built by featuring the probability predicted by distillBERT and keywords of search domains. The AUC improved to 0.96 with F1, precision, and recall increasing to 0.95, 0.94, and 0.96 respectively. Training sample size of 100 results in the most cost-effective performance.

spiral

systematic-review-datasets

A collection of fully labeled systematic review datasets (title-abstract screening)

tamplate_paper

tokyo

BSPWM - Aesthetic Dotfiles 🍚

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

wanda

A simple and effective LLM pruning approach.