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time-series-forecasting-of-amazon-stock-prices-using-neural-networks-lstm-and-gan-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

time-travel-rephotography.github.io

We simulate traveling back in time with a modern camera to rephotograph famous historical subjects.

time_interpret

Unified Model Interpretability Library for Time Series

timeout-decorator

Timeout decorator for Python

timesformer-rolled-attention

Visualizing the learned space-time attention using Attention Rollout

tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

tinydb

TinyDB is a lightweight document oriented database optimized for your happiness :)

tinygpt-v

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

tinyllama

tinyms

Easy-to-Use deep learning development toolkit.

tinypar

tinyrecord

transaction support for TinyDB

tinysam

Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"

tinyshap

A minimal implementation of the SHAP algorithm using the Kernel method

tinyvector

A tiny nearest-neighbor embedding database built with SQLite and Pytorch. (In development!)

tissues-image-classification

Classifying tissue images to associated body part.

tk-instruct

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

tkseem

Arabic Tokenization Library. It provides many tokenization algorithms.

tlm

NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework

tner

Language model fine-tuning on NER with an easy interface and cross-domain evaluation.

tnt

A lightweight library for PyTorch training tools and utilities

toast

Official code for "TOAST: Transfer Learning via Attention Steering"

tod-bert

Pre-Trained Models for ToD-BERT

together-api-basics

Some information for working with the Together inference API for Open Source AI models

token-shift-gpt

Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing

tokenization

A comprehensive deep dive into the world of tokens

tokenize-anything

Tokenize Anything via Prompting

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production