View jarvis-labs-install.sh
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# installing git-lfs | |
apt-get install git-lfs | |
# installing pytorch image models | |
pip install kaggle timm==0.6.2.dev0 fastkaggle |
View hashing.py
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import random | |
def find_pairs(M1, M2, val): | |
s =list() | |
for i in range(0,1000000): | |
s.append(M1[i]) | |
diff = {1000000 -n:n for n in M1} | |
pairs = [] | |
# diff = [] | |
# for i in range(0,1000000): |
View millionpairs.py
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M1 = [] | |
M2 = [] | |
def find_pairs(M1, M2, val): | |
s =set() | |
for i in range(0,1000000): | |
s.add(M1[i]) | |
for j in range(0,1000000): | |
if((val-M1[j]) in s): |
View localcv-tts.log
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[NbConvertApp] Converting notebook __notebook__.ipynb to notebook | |
[NbConvertApp] Executing notebook with kernel: python3 | |
2020-04-25 02:07:01.976986: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX512F | |
2020-04-25 02:07:01.998346: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000175000 Hz | |
2020-04-25 02:07:02.000270: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5610c4dfcb60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: |
View config.json
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{"model": "Tacotron2", "run_name": "ljspeech-graves", "run_description": "tacotron2 wuth graves attention", "audio": {"num_mels": 80, "num_freq": 1025, "sample_rate": 22050, "frame_length_ms": 50, "frame_shift_ms": 12.5, "preemphasis": 0.98, "min_level_db": -100, "ref_level_db": 20, "power": 1.5, "griffin_lim_iters": 60, "signal_norm": true, "symmetric_norm": true, "max_norm": 4, "clip_norm": true, "mel_fmin": 0.0, "mel_fmax": 8000.0, "do_trim_silence": true}, "reinit_layers": [], "batch_size": 32, "eval_batch_size": 8, "r": 7, "gradual_training": [[0, 7, 64], [1, 5, 64], [50000, 3, 32], [130000, 2, 32], [290000, 1, 32]], "loss_masking": true, "run_eval": true, "test_delay_epochs": 10, "test_sentences_file": null, "noam_schedule": false, "grad_clip": 1, "epochs": 2, "lr": 0.0001, "wd": 1e-06, "warmup_steps": 4000, "memory_size": -1, "prenet_type": "original", "prenet_dropout": true, "attention_type": "original", "attention_heads": 5, "attention_norm": "sigmoid", "windowing": false, "use_forward_attn": false, |
View gist:cad40da2bb54b545db9147d720bb2c33
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## coz | |
- first year contribution( | |
- NODE.js + GITHUB | |
- MOZILLA regional sprints | |
- | |
View .emacs
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(custom-set-variables | |
;; custom-set-variables was added by Custom. | |
;; If you edit it by hand, you could mess it up, so be careful. | |
;; Your init file should contain only one such instance. | |
;; If there is more than one, they won't work right. | |
'(inhibit-startup-screen t)) | |
(custom-set-faces | |
;; custom-set-faces was added by Custom. | |
;; If you edit it by hand, you could mess it up, so be careful. | |
;; Your init file should contain only one such instance. |
View init.el
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(define-skeleton insert-org-entry | |
"Prompt for task, estimate and category" | |
nil | |
'(setq task (skeleton-read "Task: ")) | |
'(setq estimate (skeleton-read "Estimate: ")) | |
'(setq category (skeleton-read "Category: ")) | |
'(setq timestamp (format-time-string "%s")) | |
"** " task \n | |
":PROPERTIES:" \n | |
":ESTIMATED: " estimate \n |
View message_buffer
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Loading 00debian-vars...done | |
Loading /etc/emacs/site-start.d/50cmake-data.el (source)...done | |
Loading /etc/emacs/site-start.d/50dictionaries-common.el (source)... | |
Loading debian-ispell... | |
Loading /var/cache/dictionaries-common/emacsen-ispell-default.el (source)...done | |
Loading debian-ispell...done | |
Loading /var/cache/dictionaries-common/emacsen-ispell-dicts.el (source)...done | |
Loading /etc/emacs/site-start.d/50dictionaries-common.el (source)...done | |
Loading /etc/emacs/site-start.d/50festival.el (source)...done | |
For information about GNU Emacs and the GNU system, type C-h C-a. |
View obecttracking.py
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import cv2 | |
import numpy as np | |
cap = cv2.VideoCapture(0) | |
while(1): | |
# Take each frame | |
_, frame = cap.read() |
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