Popular GitHub Repositories for Future Predict

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Provide an input CSV and a target field to predict, generate a model + code to run it.

Use unsupervised and supervised learning to predict stocks

For deep RL and the future of AI.

MiniSora: A community aims to explore the implementation path and future development direction of Sora.

Collect some World Models for Autonomous Driving (and Robotic) papers.

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

Predict Cryptocurrency Price with Deep Learning

? CareGPT (关怀GPT)是一个医疗大语言模型，同时它集合了数十个公开可用的医疗微调数据集和开放可用的医疗大语言模型，包含LLM的训练、测评、部署等以促进医疗LLM快速发展。Medical LLM, Open Source Driven for a Healthy Future.

Real-time voice-changer for voice-chat, etc. Will support many different voice-filters and features in the future. ?

Use NLP to predict stock price movement associated with news

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

常用的语义分割架构结构综述以及代码复现 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg

Introducing neural networks to predict stock prices

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.