1,101estrellas
TensorFlow Tutorial for Time Series Prediction
Aprendizaje automático · GitHub
Explora herramientas para entrenar, evaluar y ejecutar modelos, y compara el interés de la comunidad.
Proyectos útiles de GitHub
4,743 proyectos
mdio-python
TGSAI
43estrellas
Cloud native, scalable storage engine for various types of energy data.
- Abstractions for common energy data types (see below).
- Cloud native chunked storage based on Zarr and fsspec.
Deep-Learning-In-Production
The-AI-Summer
1,270estrellas
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
self-attention-cv
The-AI-Summer
1,214estrellas
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
CC33Z
the-akira
70estrellas
Curso de Ciência da Computação
traiNNer-redux
the-database
139estrellas
Deep learning training framework for image super resolution and restoration.
PIXIU
The-FinAI
896estrellas
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
- Open resources: PIXIU openly provides the financial LLM, instruction tuning data, and datasets included in the evaluation benchmark to encourage open research and transparency.
- Multi-task: The instruction tuning data and benchmark in PIXIU cover a diverse set of financial tasks, including four financial NLP tasks and one financial prediction task.
fsdl-text-recognizer-project
the-full-stack
1,228estrellas
Lab materials for the Full Stack Deep Learning Course
yolov4-deepsort
theAIGuysCode
1,422estrellas
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
MLInterview
theainerd
540estrellas
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
text_summurization_abstractive_methods
theamrzaki
530estrellas
Multiple implementations for abstractive text summurization , using google colab
ai-file-organizer
thebearwithabite
51estrellas
Intelligent file organization with computer vision, audio analysis, chunking, proactive AI-powered analysis, interactive classification, and adaptive learning.
- Smart Staging — 7-day observation period before organizing files
- Confidence-Based Decisions — NEVER/MINIMAL/SMART/ALWAYS modes
jpc
thebuckleylab
96estrellas
Flexible Inference for Predictive Coding Networks in JAX.
sslsv
theolepage
41estrellas
Toolkit for training and evaluating Self-Supervised Learning (SSL) frameworks for Speaker Verification (SV).
- Supervised and Self-supervised datasets (siamese and DINO sampling)
- Audio augmentation (noise and reverberation)
conifer
thesps
65estrellas
Fast inference of Boosted Decision Trees in FPGAs
awesome-ml4co
Thinklab-SJTU
2,177estrellas
Awesome machine learning for combinatorial optimization papers.
fred
thomashiemstra
114estrellas
This my 3d printed robot arm project
tbp.monty
thousandbrainsproject
608estrellas
Monty is a sensorimotor learning framework based on the thousand brains theory of the neocortex.
GeoCode
threedle
420estrellas
GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.
zhusuan
thu-ml
2,218estrellas
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
SwissArmyTransformer
THUDM
1,121estrellas
SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.
- Prefix-tuning (or P-tuning) improves finetuning via adding trainable parameters in each attention layer. To apply it to a GLM classification (or any other) model is easy with our library.
- GPT and other auto-regressive models act differently during training and inference. During inference, text is generated token-by-token and we need to cache previous states for efficiency. With our lib, you only need to consider the behavior during training (teacher-forcing) and transform it to a cached auto-regressive model via adding a mixin:
Anomaly-Transformer
thuml
1,051estrellas
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
Autoformer
thuml
2,494estrellas
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
843estrellas
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.