ffn - a financial function library for Python

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

Next generation modding platform for Final Fantasy VII and Final Fantasy VIII (with native Steam 2013, Steam 2026 Rerelease, GOG and Windows Store support)

Flood-Filling Networks for instance segmentation in 3d volumes.

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FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos

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Adapt an LLM model to a Mixture-of-Experts model using Parameter Efficient finetuning (LoRA), injecting the LoRAs in the FFN.

A python algorithm for tracking cells in 3D deforming organs

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Scripts for scraping Archive of Our Own (AO3), Tumblr, Fanfiction.net (FFN), and Wattpad to gather fandom data.

The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).

Frame Flexible Network (CVPR2023)

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

A reddit auto reply bot.

Hybrid CNN-Transformer Feature Fusion for Single Image Deraining (AAAI 2023)

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How to get FFmpeg to export the needed symbols on (K)ubuntu cosmic/disco (and similar distros) so OBS and MPV can use NVENC and NVDEC by installing the FFmpeg Nvidia dynamic linker code

[NLPCC 2022] Kformer: Knowledge Injection in Transformer Feed-Forward Layers

Unofficial PyTorch implementation of FFN : "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (NeurIPS2020)"

FFNet: MetaMixer-based Efficient Convolutional Mixer Design

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Implementation of our CVPR 2018 Paper (FFNet: Video Fast-Forwarding via Reinforcement Learning)

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Paraphrase question identification using Feature Fusion Network (FFN).

Deep Learning model for analysis and identify the application for given Teletraffic pattern. 1D convolution and FFN models using for this task

Source codes for paper "BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity".

The official code of "Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers"

专门用于多图片上传的工具